Robotic disassembly of electric vehicle batteries: an overview

Yue Zang; Yongjing Wang

doi:10.1109/ICAC55051.2022.9911109

Robotic disassembly of electric vehicle batteries: an overview

Yue Zang^*, Yongjing Wang

^*Corresponding author for this work

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Electric vehicle (EV) batteries reach the end of their service lives in 5-8 years. The repair, remanufacturing and recycling of EV batteries can have significant economic and environmental impacts. Disassembly, a key process in repair, remanufacturing recycling, is usually a manual task. Due to the growing number of end-of-life EV batteries, robots have been proposed to be used in EV battery disassembly. Nevertheless, the high-level complexity and uncertainty in disassembly actions make it difficult to automate EV battery disassembly. This paper gives an overview of the current approaches adopted in EV battery disassembly, and robotic techniques that have the potential to be employed in battery disassembly. We propose a classification of EV battery disassembly actions and identify key future research and innovation directions.

Original language	English
Title of host publication	2022 27th International Conference on Automation and Computing (ICAC)
Editors	Chenguang Yang, Yuchun Xu
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781665498074
ISBN (Print)	9781665498081 (PoD)
DOIs	https://doi.org/10.1109/ICAC55051.2022.9911109
Publication status	Published - 10 Oct 2022
Event	27th International Conference on Automation and Computing, ICAC 2022 - Bristol, United Kingdom Duration: 1 Sept 2022 → 3 Sept 2022

Publication series

Name	International Conference on Automation and Computing (ICAC)

Conference

Conference	27th International Conference on Automation and Computing, ICAC 2022
Country/Territory	United Kingdom
City	Bristol
Period	1/09/22 → 3/09/22

Bibliographical note

Funding Information:
This research has been partially funded by the Engineering and Physical Sciences Research Council (EPSRC) (EP/W00206X/1), the Royal Society (IEC\NSFC\181018), and Jiangsu Industry Technology Research Institute.

Publisher Copyright:
© 2022 IEEE.

Keywords

deep reinforcement learning
disassembly sequence plan
EV battery
human-robot collaboration
robotic disassembly

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Information Systems and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/ICAC55051.2022.9911109

1 Finished
1 Active

Self-learning robotics for industrial contact-rich tasks (ATARI): enabling smart learning in automated disassembly
Wang, Y. W.
Engineering & Physical Science Research Council
1/05/22 → 31/10/24
Project: Research Councils
Automatic disassembly replanning for autonomous remanufacturing
Wang, Y. W.
The Royal Society
20/03/19 → 18/03/22
Project: Research Councils

Cite this

@inproceedings{8d846ed488ab45ceb32433cfb369d7f8,

title = "Robotic disassembly of electric vehicle batteries: an overview",

abstract = "Electric vehicle (EV) batteries reach the end of their service lives in 5-8 years. The repair, remanufacturing and recycling of EV batteries can have significant economic and environmental impacts. Disassembly, a key process in repair, remanufacturing recycling, is usually a manual task. Due to the growing number of end-of-life EV batteries, robots have been proposed to be used in EV battery disassembly. Nevertheless, the high-level complexity and uncertainty in disassembly actions make it difficult to automate EV battery disassembly. This paper gives an overview of the current approaches adopted in EV battery disassembly, and robotic techniques that have the potential to be employed in battery disassembly. We propose a classification of EV battery disassembly actions and identify key future research and innovation directions.",

keywords = "deep reinforcement learning, disassembly sequence plan, EV battery, human-robot collaboration, robotic disassembly",

author = "Yue Zang and Yongjing Wang",

note = "Funding Information: This research has been partially funded by the Engineering and Physical Sciences Research Council (EPSRC) (EP/W00206X/1), the Royal Society (IEC\NSFC\181018), and Jiangsu Industry Technology Research Institute. Publisher Copyright: {\textcopyright} 2022 IEEE.; 27th International Conference on Automation and Computing, ICAC 2022 ; Conference date: 01-09-2022 Through 03-09-2022",

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Zang, Y & Wang, Y 2022, Robotic disassembly of electric vehicle batteries: an overview. in C Yang & Y Xu (eds), 2022 27th International Conference on Automation and Computing (ICAC)., 9911109, International Conference on Automation and Computing (ICAC), IEEE, 27th International Conference on Automation and Computing, ICAC 2022, Bristol, United Kingdom, 1/09/22. https://doi.org/10.1109/ICAC55051.2022.9911109

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T2 - 27th International Conference on Automation and Computing, ICAC 2022

AU - Zang, Yue

AU - Wang, Yongjing

N1 - Funding Information: This research has been partially funded by the Engineering and Physical Sciences Research Council (EPSRC) (EP/W00206X/1), the Royal Society (IEC\NSFC\181018), and Jiangsu Industry Technology Research Institute. Publisher Copyright: © 2022 IEEE.

PY - 2022/10/10

Y1 - 2022/10/10

N2 - Electric vehicle (EV) batteries reach the end of their service lives in 5-8 years. The repair, remanufacturing and recycling of EV batteries can have significant economic and environmental impacts. Disassembly, a key process in repair, remanufacturing recycling, is usually a manual task. Due to the growing number of end-of-life EV batteries, robots have been proposed to be used in EV battery disassembly. Nevertheless, the high-level complexity and uncertainty in disassembly actions make it difficult to automate EV battery disassembly. This paper gives an overview of the current approaches adopted in EV battery disassembly, and robotic techniques that have the potential to be employed in battery disassembly. We propose a classification of EV battery disassembly actions and identify key future research and innovation directions.

AB - Electric vehicle (EV) batteries reach the end of their service lives in 5-8 years. The repair, remanufacturing and recycling of EV batteries can have significant economic and environmental impacts. Disassembly, a key process in repair, remanufacturing recycling, is usually a manual task. Due to the growing number of end-of-life EV batteries, robots have been proposed to be used in EV battery disassembly. Nevertheless, the high-level complexity and uncertainty in disassembly actions make it difficult to automate EV battery disassembly. This paper gives an overview of the current approaches adopted in EV battery disassembly, and robotic techniques that have the potential to be employed in battery disassembly. We propose a classification of EV battery disassembly actions and identify key future research and innovation directions.

KW - deep reinforcement learning

KW - disassembly sequence plan

KW - EV battery

KW - human-robot collaboration

KW - robotic disassembly

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SN - 9781665498081 (PoD)

T3 - International Conference on Automation and Computing (ICAC)

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A2 - Yang, Chenguang

A2 - Xu, Yuchun

PB - IEEE

Y2 - 1 September 2022 through 3 September 2022

ER -

Robotic disassembly of electric vehicle batteries: an overview

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Projects

Self-learning robotics for industrial contact-rich tasks (ATARI): enabling smart learning in automated disassembly

Automatic disassembly replanning for autonomous remanufacturing

Cite this